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dc.contributor.authorda Silva Ferreira, Adriano
dc.contributor.authorMalheiros-Silveira, Gilliard Nardel [UNESP]
dc.contributor.authorHernández-Figueroa, Hugo Enrique
dc.date.accessioned2021-06-25T10:30:38Z
dc.date.available2021-06-25T10:30:38Z
dc.date.issued2020-09-14
dc.identifierhttp://dx.doi.org/10.1364/FIO.2020.JTu7D.3
dc.identifier.citationOptics InfoBase Conference Papers.
dc.identifier.urihttp://hdl.handle.net/11449/206354
dc.description.abstractWe designed Extreme Learning Machines (ELM) for calculating band structures (BST) of randomly-generated bi-dimensional (2D) photonic crystals and demonstrated fast-training ELM models able to perform fast and accurate BST computations.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.language.isoeng
dc.relation.ispartofOptics InfoBase Conference Papers
dc.sourceScopus
dc.titleComputing band structures of randomly-generated 2D photonic crystals with extreme learning machinesen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionHortolândia
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationSchool of Electrical and Computer Engineering (FEEC) University of Campinas (UNICAMP)
dc.description.affiliationSão Paulo Federal Institute of Education Science and Technology (IFSP) Hortolândia
dc.description.affiliationSão Paulo State University (UNESP)
dc.description.affiliationUnespSão Paulo State University (UNESP)
dc.identifier.doi10.1364/FIO.2020.JTu7D.3
dc.description.sponsorshipIdFAPESP: 2015/24517-8
dc.identifier.scopus2-s2.0-85105994761
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